Well written 👏 Really enjoyed your piece on the Simplified Growth Model, Ross.
In the PMM world, we often get bogged down with complex metrics and convoluted strategies, so your approach is a breath of fresh air. Your focus on making the model accessible and understandable across different teams is spot on!
In my years of experience, I've seen how vital it is for growth strategies to be clear and actionable.
However, I'd love to see how this model could weave in deeper market insights and customer behavior trends. Also, how might it flex as a company scales? That's always a challenge we grapple with - adapting our strategies as we grow.
Oof, that's a great one! I think that it partly gets covered by the initiatives. In order to get a buy-in for an initiative, the hypothesis underneath it should be backed by both qual and quant data. But that made me thinking if there's even a better way of showing that...🤔
On the scale side, from my experience, the model just becomes more detailed. As mentioned in the article, we tend to expand every step of the funnel, and also adding more metrics that might correlate with CRs on different steps or other things (like avg. transaction value in case of Braid).
As someone deeply involved in product strategy, the Simplified Quantitative Growth Model you've outlined here hits the nail on the head.
I'm especially curious about how this model might evolve with continuous user feedback and changing market dynamics. In product management, we're always trying to balance immediate needs with long-term vision, and I think there's room to integrate these aspects into your model.
Great question! Balancing the portfolio of bets is obv something we are looking at all the time. My hunch is that in the model you're going to see the weakest spot of your loop, so you can start thinking of all the data you need to build up the strong hypotheses and execute on them. In the same time, playin around with the numbers, you can arrive at a blend of different metrics that can be improved relatively(!!!) easy, which is going to support your growth while that major thing is being figured.
as to competitive positioning, I don't a growth model will help with that one, unfortunately. Lemme know!
Well written 👏 Really enjoyed your piece on the Simplified Growth Model, Ross.
In the PMM world, we often get bogged down with complex metrics and convoluted strategies, so your approach is a breath of fresh air. Your focus on making the model accessible and understandable across different teams is spot on!
In my years of experience, I've seen how vital it is for growth strategies to be clear and actionable.
However, I'd love to see how this model could weave in deeper market insights and customer behavior trends. Also, how might it flex as a company scales? That's always a challenge we grapple with - adapting our strategies as we grow.
Would love to hear your thoughts.
Oof, that's a great one! I think that it partly gets covered by the initiatives. In order to get a buy-in for an initiative, the hypothesis underneath it should be backed by both qual and quant data. But that made me thinking if there's even a better way of showing that...🤔
On the scale side, from my experience, the model just becomes more detailed. As mentioned in the article, we tend to expand every step of the funnel, and also adding more metrics that might correlate with CRs on different steps or other things (like avg. transaction value in case of Braid).
Hope that helps!
This is what I like to see. Actionable insights and real models to show growth trends!
Great, detailed post!
As someone deeply involved in product strategy, the Simplified Quantitative Growth Model you've outlined here hits the nail on the head.
I'm especially curious about how this model might evolve with continuous user feedback and changing market dynamics. In product management, we're always trying to balance immediate needs with long-term vision, and I think there's room to integrate these aspects into your model.
Great question! Balancing the portfolio of bets is obv something we are looking at all the time. My hunch is that in the model you're going to see the weakest spot of your loop, so you can start thinking of all the data you need to build up the strong hypotheses and execute on them. In the same time, playin around with the numbers, you can arrive at a blend of different metrics that can be improved relatively(!!!) easy, which is going to support your growth while that major thing is being figured.
as to competitive positioning, I don't a growth model will help with that one, unfortunately. Lemme know!
Another thing - how does competitive positioning play into this? It's something we're always keeping an eye on.